24 papers · ranked by Valyu relevance
Asad Abdi, Chintan Amrit, Sebastian Ventura
Transportation plays a key role in today’s economy. Hence, intelligent transportation systems have attracted a great deal of attention among research communities. There are a few review papers in this area. Most of them focus only on travel time prediction. Furthermore, these papers do not include recent research. To…
Mallory Lai, Shaun S. Wulff, Yongtao Cao, Timothy J. Robinson + 1 more
'Rasika Rajapaksha'] Wastewater-based epidemiology has emerged as a viable tool for monitoring disease prevalence in a population. This paper details a time series machine learning (TSML) method for predicting COVID-19 cases from wastewater and environmental variables. The TSML method utilizes a number of techniques to…
Chaochen Hu, Zihan Sun, Chao Li, Yong Zhang + 1 more
Nowadays, with the rapid growth of the internet of things (IoT), massive amounts of time series data are being generated. Time series data play an important role in scientific and technological research for conducting experiments and studies to obtain solid and convincing results. However, due to privacy restrictions…
Siva Rama Krishna Kottapalli, Karthik Hubli, Sandeep Chandrashekhara, Garima Jain + 3 more
'Garima Jain' 'Sunayana Hubli' 'Gayathri Botla' 'Ramesh Doddaiah'] Transformer-based foundation models have emerged as a dominant paradigm in time series analysis, offering unprecedented capabilities in tasks such as forecasting, anomaly detection, classification, trend analysis and many more time series analytical…
Yi Li, Z. Liu, Xindong Zhu, Ning Xie
via Transformer in VR Authors: Yi Li, Z. Liu, Xindong Zhu, Ning Xie Title: Zeitgebers-Based User Time Perception Analysis and Data-Driven Modeling via Transformer in VR Authors: Yi Li, Z. Liu, Xindong Zhu, Ning Xie Content: # 2.3 Measurements of Time Perception Methods for measuring time perception can be categorized…
A. Anguera, J.M. Barreiro, J.A. Lara, D. Lizcano
2.1### Time series analysis techniques There are a great many techniques related to time series analysis in the literature. There are techniques for comparing time series and extracting common subsequences. The most noteworthy are techniques based on Fourier or wavelet , , transforms. Others are based on comparing time…
André Bauer, Mark Leznik, Michael Stenger, Robert Leppich + 3 more
'Nikolas Herbst' 'Samuel Kounev' 'Ian Foster'] In many areas of decision-making, forecasting is an essential pillar. Consequently, many different forecasting methods have been proposed. From our experience, recently presented forecasting methods are computationally intensive, poorly automated, tailored to a particular…
Aurea Anguera, Juan A. Lara, David Lizcano, Maria Aurora Martínez + 1 more
'Juan Pazos'] There are now a great many domains where information is recorded by sensors over a limited time period or on a permanent basis. This data flow leads to sequences of data known as time series. In many domains, like seismography or medicine, time series analysis focuses on particular regions of interest…
Khaled Bouzaiene
The conception of time as a universal, independent parameter is a foundational axiom of physical models, yet it fails to account for the subjective nature of temporal perception and leads to theoretical inconsistencies in complex systems. This paper introduces and provides multifaceted empirical support for the…
Carl H Lubba, Sarab S Sethi, Philip Knaute, Simon R Schultz + 2 more
Capturing the dynamical properties of time series concisely as interpretable feature vectors can enable efficient clustering and classification for time-series applications across science and industry. Selecting an appropriate feature-based representation of time series for a given application can be achieved through…
Zafeirios Fountas, Alexey Zakharov
Enquiries concerning the underlying mechanisms and the emergent properties of a biological brain have a long history of theoretical postulates and experimental findings. Today, the scientific community tends to converge to a single interpretation of the brain's cognitive underpinnings – that it is a Bayesian inference…
Cameron D. Hassall, Jack Harley, Nils Kolling, Laurence T. Hunt
Much of human behaviour is governed by common processes that unfold over varying timescales. Standard event-related potential analysis assumes fixed-latency responses relative to experimental events. However, recent single unit recordings in animals have revealed neural activity scales to span different durations…
Sylligardos, Emmanouil, Paparrizos, John + 6 more
Anomaly detection is a fundamental task for time series analytics with important implications for the downstream performance of many applications. Despite increasing academic interest and the large number of methods proposed in the literature, recent benchmarks and evaluation studies demonstrated that no overall best…
Authors not listed
The residence time (τ) of a drug bound to a receptor target is increasingly recognized as a key property to control during ligand-optimization campaigns and provides a useful dimension for modulating compound profiles in addition to binding affinity. For this reason, many computational approaches have been developed to…
Amol Pednekar, Ángel Luis Garrido, Yara Khaluf, Pieter Simoens
time perception Authors: ['Amol Pednekar' 'Ángel Luis Garrido' 'Yara Khaluf' 'Pieter Simoens'] © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional…
Michail Maniadakis, Panos Trahanias
The sense of time is an essential capacity of humans, with a major role in many of the cognitive processes expressed in our daily lifes. So far, in cognitive science and robotics research, mental capacities have been investigated in a theoretical and modeling framework that largely neglects the flow of time. Only…
Authors not listed
Strong coupling and environmental memory render many open quantum systems intractable to classical computation. To overcome this barrier, we present a variational quantum algorithm capable of solving generalized form time-local quantum master equations directly on Noisy Intermediate-Scale Quantum (NISQ) processors. Our…
Rajdeep Chatterjee, Debarshi Kumar Sanyal, Ankita Chatterjee
Brain activities, called brain rhythms, are the micro-level electrical signals (that is, Electroencephalogram or EEG) generated in our brain while we are performing a task. Even when we imagine a limb movement, it generates the same EEG signals called motor-imagery. Motor-imagery based Brain-computer Interface (BCI)…
Yiting Li, Wenqu Yin, Jiawen Li, Shanglin Zhou + 3 more
Time estimation is an essential prerequisite underlying various cognitive functions. Previous studies identified “sequential firing” and “activity ramps” as the primary neuron activity patterns in the medial frontal cortex (mPFC) that could convey information regarding time. However, the relationship between these…
Authors not listed
Electrochemical impedance spectroscopy (EIS) coupled with distribution of relaxation times (DRT) analysis is a robust framework for characterizing electrochemical systems. However, DRT deconvolution is often plagued by spurious peaks, hindering accurate process identification and quantitative parameter estimation. To…
André Luzardo, Eduardo Alonso, Esther Mondragón
Computational models of classical conditioning have made significant contributions to the theoretic understanding of associative learning, yet they still struggle when the temporal aspects of conditioning are taken into account. Interval timing models have contributed a rich variety of time representations and provided…
Pragadeeshwara Rao R
Due to the ongoing concern for the development of rapid and accurate antimicrobial susceptibility testing (AST) methods in the field of clinical microbiology, several novel AST systems have been developed to replace the traditional gold standard AST techniques, which are time-consuming and can lead to delayed…
Umberto Lucia, Giulia Grisolia
Causality is the relationship between causes and effects. Following Relativity, any cause of an event must always be in the past light cone of the event itself, but causes and effect must always be related to some interactions. In this paper, causality is developed as a consequence of the analysis of the Einstein…
Jihun Kim, Qingfei Wang, Siyuan Zhang, Sangpil Yoon
Super-resolution ultrasound (SRUS) imaging technique has overcome the diffraction limit of conventional ultrasound imaging, resulting in an improved spatial resolution while preserving imaging depth. Typical SRUS images are reconstructed by localizing ultrasound microbubbles (MBs) injected in a vessel using normalized…